Gender: Female 
Age: 25-34
Nationality: Egypt
Ethnicity: Other. Please specify Middle Eastern + White.
Marital status: Divorced 
First language: English;Arabic 
Religion: Muslim 
Education: Undergraduate degree
Mother's education: Undergraduate degree
Father's education: Graduate degree
Self-assessed socioeconomic status (1-10): 7
Home: Rent 
Employment: Not employed, but looking for work
Occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Mother's occupation: Homemaker
Father's occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Hobbies: Use social media 
Devices used daily: Laptop;Smartphone;Tablet 
NLP tools known: Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Grammar checker (i.e., correcting grammar mistakes);Spell checker (i.e., correcting misspellings);Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder) 
NLP tools used: Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Grammar checker (i.e., correcting grammar mistakes);Spell checker (i.e., correcting misspellings) 
NLP tools they would find useful: E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder) 
Frequency of LLM use: Nearly every day
LLMs used: ChatGPT 
LLM use cases: Translation;Brainstorming;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Generic chatbot conversation;Solving math or logical problems;Analyze data;Generate art;Play games;Completing assignments;Learning (e.g., explaining complex concepts in simple terms);Answering questions about general knowledge;Summarizing long texts;Collecting references 
Contexts of LLM use: Work;School/University;Entertainment;Learning;Personal 
Prompt 1: WHATS THE MOST SEMINAL WELLCITED PAPER THAT TALKS ABOUT STANDARDIZING SCALES IN PSYCHOLOGY?
Prompt 2: give me NAMES OF PAPERS
Prompt 3: give me references for importance/method of standardizing norming scale
Prompt 4: Cultural Sensitivity, Standardization, and Iterative Refinement  should that last comma be there
Prompt 5: can the cultural part be called cultural sensitivity?
Prompt 6: ensuring cultural relevance, standardization and iterative refinement which comes first
Prompt 7: pearson or pearson's
Prompt 8: is temporal stability symbolized by r
Prompt 9: but not so much time that true changes in participants’ depressed states occur is this good
Prompt 10: but not so much time that true changes in participants’ depressed states occur.
Comments: Not particularly.